WORKSPACES

JupyterHub Environment

Cloud-based Jupyter notebooks with pre-configured quantitative finance libraries. Zero setup. Instant execution. Save and share your work.

workspace.ipynb � Decision Lab JupyterHub
# Pre-configured quantitative finance environment
import numpy as np
import pandas as pd
import scipy.optimize as opt
import cvxpy as cp
from quantlib import *

# Your workspace is ready. All libraries pre-installed.
# Data connections configured. Models available.

Environment Features

Pre-Installed Libraries

NumPy, Pandas, SciPy, cvxpy, QuantLib, and 50+ quantitative packages ready to use.

Data Connections

Direct access to market data, factor databases, and economic indicators via API.

Persistent Storage

Your notebooks, data, and results are saved automatically. Resume work anytime.

Team Collaboration

Share notebooks, co-edit in real-time, and maintain version history for team projects.

Book Integration

Direct links from chapter content to executable notebooks. Theory to implementation in one click.

Secure Environment

Isolated containers, encrypted data, and SOC 2 compliant infrastructure.

Pre-Installed Libraries

numpy
1.24.x
pandas
2.0.x
scipy
1.11.x
cvxpy
1.4.x
QuantLib
1.31
statsmodels
0.14.x
scikit-learn
1.3.x
matplotlib
3.8.x
plotly
5.18.x
yfinance
0.2.x
4 vCPU
Compute
16 GB
Memory
50 GB
Storage
GPU*
Optional

Launch Your Workspace

Start coding immediately with a fully configured quantitative finance environment.

Access JupyterHub